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作者：Wooten, Joel O.
作者单位：University of South Carolina System; University of South Carolina Columbia
摘要：This paper explores how innovation breakthroughs can stimulate future progress in individual innovation. It does this by introducing a new contest mechanism-one that shows signals of performance can yield information about the solution space. Simply put, observing another's high performance is a clue that can lead solvers to devise ways of achieving their own breakthroughs. Using a unique dataset of predictive modeling contests from Kaggle, we use 25,898 distinct attempts at innovation to high...
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作者：Smith, Evelyn O.; Shulman, Jeffrey D.
作者单位：University of Washington; University of Washington Seattle
摘要：Retail sellers authorized to sell a branded product may divert some units to an unauthorized dealer thus enabling the dealer to become a direct competitor. Because these sellers vary in quality, it is often unclear what type of seller is more motivated to participate in diversion. We develop an analytical model to demonstrate how vertically differentiated sellers make diversion decisions responding to an unauthorized dealer under unique circumstances not considered by previous research. The mo...
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作者：Lin, Shaochong; Chen, Youhua (Frank); Li, Yanzhi; Shen, Zuo-Jun Max
作者单位：City University of Hong Kong; City University of Hong Kong; University of Hong Kong; University of Hong Kong; University of California System; University of California Berkeley
摘要：We study a risk-averse newsvendor problem where demand distribution is unknown. The focal product is new, and only the historical demand information of related products is available. The newsvendor aims to maximize its expected profit subject to a profit risk constraint. We develop a model with a value-at-risk constraint and propose a data-driven approximation to the theoretical risk-averse newsvendor model. Specifically, we use machine learning methods to weight the similarity between the new...
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作者：Huang, Xiao
作者单位：Concordia University - Canada
摘要：This study considers a dyadic supply chain in which a large and creditworthy buyer procures a product from a capital-constrained supplier subject to disruption risk. In facilitating the production, the buyer may offer direct financing to the supplier by way of advance payment (AP). Concurrently, the buyer may also set a tailored discount rate (TR) that applies to the AP and an extended payment timeline (PE) for the balance due. We analyze the value and interplay of these elements by comparing ...
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作者：Li, Meng; Li, Tao
作者单位：University of Houston System; University of Houston; Santa Clara University
摘要：Artificial intelligence (AI) has significantly changed the supply chain process. In this study, we study the effects associated with AI automation of the retailer's order decision in a decentralized supply chain comprising one supplier and one regretful retailer. In the absence of AI automation, the retailer has a regret bias in that it behaves as though considering the deviation between the realized demand and order quantity, when making an ex ante inventory decision. We find that if profit m...
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作者：Wang, Xunyi; Jiang, Meiling; Han, Wencui; Qiu, Liangfei
作者单位：Baylor University; University of Illinois System; University of Illinois Urbana-Champaign; State University System of Florida; University of Florida
摘要：The digital technology underlying the concept of Industry 4.0 has brought new disruptive changes to the economy. As an innovative service model, the unique characteristics of the space-sharing economy require the understanding of emotional and psychological aspects in managing such a disruptive service model. We empirically examine the impact of unstructured emotional information that service providers offer (i.e., marketer-generated content) on the popularity and sales of services in space-sh...
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作者：Dai, Tinglong; Tayur, Sridhar
作者单位：Johns Hopkins University; Johns Hopkins University; Carnegie Mellon University
摘要：The role of artificial intelligence (AI) in augmenting healthcare is expected to grow substantially in future decades. Current research in medical AI focuses on developing, validating, and implementing point-level AI applications in an ad hoc manner. To harness the full power of AI to improve the patient experience and outcomes at a societal scale, however, requires a gestalt shift-with a systematic understanding of AI in the context of healthcare-and so results in its widespread adoption. Thi...
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作者：Diwas, K. C.; Kim, T. I. Tongil; Liu, Jiayi
作者单位：Emory University; University of Texas System; University of Texas Dallas; Virginia Polytechnic Institute & State University
摘要：To combat the nationwide opioid epidemic, many states have implemented policies that require prescribers to check a patient's prescription history with Prescription Drug Monitoring Programs (PDMPs) prior to initiating or refilling opioid prescriptions. Using a difference-in-differences approach, we show that after states mandated PDMP use, opioid prescriptions decreased by 6.1% as intended. However, PDMP mandates had the unintended effect of driving existing opioid users towards more lethal il...
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作者：Chen, Xingxing; Feldman, Jacob; Kouvelis, Panos; Jung, Seung Hwan
作者单位：University of Richmond; Washington University (WUSTL); Yonsei University
摘要：In this paper, we introduce and study the joint inventory selection and online resource allocation problem, which is characterized by two sequential sets of decisions that are irrevocably linked. First, a decision maker (DM) must select starting inventory levels for a set of available resources. Subsequently, the DM must match arriving customers to available resources in an online fashion so as to maximize expected reward. We first study the problem in its most general form, before focusing on...
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作者：Schlapp, Jochen; Fleischmann, Moritz; Sonntag, Danja
作者单位：Frankfurt School Finance & Management; University of Mannheim
摘要：Firms that sell products over a limited selling season often have only imperfect information about (a) the exact timing of that season, (b) the demand volume to expect, and (c) the temporal distribution of demand over the selling season. Given these uncertainties, firms must determine not only how much inventory to stock but also when to make that inventory available to customers. We thus ask: What is a firm's optimal inventory quantity and timing for products sold during a stochastic selling ...
